GenAI for Scholarly Work Part 1: Using GenAI to Master Literature and Theory [webinar]

How can Generative AI support, challenge, and extend your academic work? This interactive two-part series invites scholars to go beyond the basics of GenAI and explore the intersection of AI, creativity, and academic integrity. In this two-part series, we cover the full academic writing lifecycle: In "Part 1: Using GenAI to Master Literature and Theory", we will explore using GenAI as a partner to dissect papers, scope topics, and play around with creative theorizing. This session will help you use GenAI as a vessel for your curiosity rather than a shortcut.

In "Part 2: Using GenAI for Academic Writing", we will cover advanced writing strategies and prompt engineering. We will address the risks of over-reliance and practice techniques to maintain your unique intellectual voice while using AI to enhance the clarity and impact of your manuscripts. Altogether, this two-part series turns abstract ideas about GenAI into practical workflows that you can use throughout your research lifecycle.

For smooth execution, we ask participants to bring their preferred AI tool, a familiar open-access paper (for Part 1), and a short writing sample (for Part 2) for the hands-on exercises. We strongly encourage everyone attending to be prepared for interactive activities.

Presented by

This series will be co-hosted by Dr. Maylis Saigot and Prof. Stan Karanasios. Stan is a Professor of Information Systems and Director of HDR at the UQ Business School. With over 20 A* publications exploring the societal impacts of AI, he frequently facilitates workshops on this topic. Combining his editorial roles (SE for ISJ, AE for EJIS) with his HDR leadership, Stan is uniquely positioned to understand the standards of scholarly work and support junior colleagues in developing their research pipelines. Dr. Maylis Saigot is a Lecturer in Business Information Systems at the UQ Business School. Her research examines the impact of technology on affective and socio-cognitive processes, a critical lens she brings to this series. Having accumulated hundreds of hours exploring GenAI tools and facilitated several iterations of these workshops, Maylis combines deep technical familiarity with an understanding of how AI technology reshapes scholarly habits and cognitive workflows.